Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 22, 2026 · NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )
lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
87 vs 80
Hardware Fit
76 vs 95
Quality Score
91 vs 73
Hardware
Qwen3-80B:80B lfm2.5:8b
MachineHP HyperX OMEN Transcend Gaming Laptop 14-ga0xxx5CD612DXMLMacBook Pro
CPUNVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )Apple M1 Pro
Cores2010
RAM55 GB16 GB
GPUNVIDIA RTX Spark N1X (6144-core Blackwell RTX GPU), NVIDIA NPUApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.28000macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
Qwen3-80B:80B lfm2.5:8b
Tokens/sec43.698.5
First chunk409 ms167 ms
TTFT409 ms2.5 s
Load time80.3 s3.0 s
Memory usage48.0 GB6.0 GB
Memory %88%37%
HW Fit Score Breakdown
Qwen3-80B:80B
Speed
50/50
TTFT
20/20
Memory
6/30
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
Quality
Qwen3-80B:80B
Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
lfm2.5:8b
Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest